Confound-leakage: Confound Removal in Machine Learning Leads to Leakage

17 October 2022

Papers citing "Confound-leakage: Confound Removal in Machine Learning Leads to Leakage"

2 / 2 papers shown

Title
On Leakage in Machine Learning Pipelines Leonard Sasse Eliana Nicolaisen-Sobesky Juergen Dukart Simon B. Eickhoff Michael Götz ... Abhijit Kulkarni Juha Lahnakoski Bradley C. Love F. Raimondo K. Patil AI4CE 23 3 0 07 Nov 2023
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019